similar to: Indexing in anova summary output of the form: summary(aov(y ~ x1, Error = (x1/x2)))

I'm just getting to grips with using ode function and have used the examples and vignettes to produce a small model of a one-pool, michaelis-menten, enzyme kinetic reaction. The rate of flux of substrate into pool A is constant (fluxoa) however the rate of flux out of pool A is controlled by the HMM equation (v = Vmax/ ( 1 + (Km / Concentration A )) ). This function works fine and

Hi all, I have a very easy questions (I hope). I had measure a property of plants, growing in three different substrates (A, B and C). The rest of the conditions remained constant. There was very high variation on the results. I want to do address, whether there is any difference in the response (my measurement) from substrate to substrate?

Dear R users, I have posted this question several days ago and received not a single suggestion. I believe I have provided sufficient information for at least some help. Here I repost the question with several modifications. I want to run nested fixed-factor Anova in R on different experiments. I have 48 levels of the main factor x1 and 242 levels of the nested factor z1, and continuous response

Hi, I'm analyzing experimental results where two different events ("T1" and "T2") can occur or not during an experiment. I made my experiments with one factor ("Substrate") with two levels ("Sand" and "Clay"). I would like to know wether or not "Substrate" affects the occurrence probability of the two events. Moreover, for each

Hi, my question is not exactly about R... What I am looking for are hints and directions on suitable methods (available in R or elsewhere) to solve a grouping (or pattern recognition) problem of environmental features in an environmental gradient as described below. Given environmental sampling data set (Depth, Presence of sand, Presence of boulders, Presence of clay). 1 1 1 0 1 1 0 0 1 1

UseRs, I am working on a dataset (see small example below) where individuals were followed on a specific date-time combo and multiple repeated measurements were taken (e.g., height in meters, behavior class in 2 letter code). Observation numbers varied between individual (ranging from 1 observation for each date-time combo to >50) I am trying to summarize the data into 1 row per

Hi all; I'm trying to display a 2 panel plot for the Puromycin data from R with 2 different non-linear models fitted to each group. The problem is that as far as I know panel.number doesn't work in the latest version of R. Can anyone give a hint how to solve this? Here is the code that I used before and now doesn't work xyplot(rate ~conc| state,Puromycin,

Dear Uwe Ligges , I still can't finish it. *> aa* #my data x1 x2 y 5 0.05 6 4.4180 1 0.50 3 2.6979 4 0.50 9 2.9000 7 0.95 6 2.6230 8 0.95 6 2.9078 9 0.95 6 2.6727 3 1.40 3 2.4203 2 1.40 9 2.5329 6 1.85 6 2.4867 *> attach(aa)* *> persp(x1,x2,y* error in persp.default(x1, x2, y) : increasing 'x' and 'y' values expected

1) deleting path/to/(Something) Word Word Anotherword--Word Word.pdf IO error encountered -- skipping file deletion I think either the -- is causing it to fail, or more likely, the next filename, which it didn't bother to print out, which has an ampersand in the name, causes it to fail. I am using SSH as a substrate, of course, and I think you guys failed to escape things, so the ampersand

Thanks Jorge and Marc, I drew the line using the function: segments(x0, y0, x1, y1) Lesandro ________________________________________________________________________ --- Em qui, 25/6/09, Marc Schwartz <marc_schwartz@me.com> escreveu: De: Marc Schwartz <marc_schwartz@me.com> Assunto: Re: [R] How to draw a line in plot when I know the start point(x1, y1) and end point(x2, y2)?

Hi, how can i plot two different x axis in a ggplot2 qplot? I want to plot Farenheit and Celsius in one diagram. x1:Farenheit x2:Celsius kind regards, -- Jonas Stein <news at jonasstein.de>

Hello all, How to draw a line in plot when I know the start point(x1,y1) and end point(x2,y2)? I need make this as additional information in the graph: plot(wl2[[1]],wl2[[2]]) I think that is possible make this with the function abline(), is possible? I looked the function lines() too, but don't understand as make. Thanks! Lesandro Veja quais são os assuntos do momento no Yahoo!

Dear list, I tried to apply the logistic regression to different response variables from a dataframe and would like to store the results using the function logistic.display from the "epicalc" package in a list, but got an error message "Error in eval(expr, envir, enclos) : y values must be 0 <= y <= 1". All the response variables have value of 0 or 1. It worked

Dear R users, Could somebody please help me to find a way of comparing nonlinear, non-nested models in R, where the number of parameters is not necessarily different? Here is a sample (growth rates, y, as a function of internal substrate concentration, x): x <- c(0.52, 1.21, 1.45, 1.64, 1.89, 2.14, 2.47, 3.20, 4.47, 5.31, 6.48) y <- c(0.00, 0.35, 0.41, 0.49, 0.58, 0.61, 0.71, 0.83, 0.98,

Hello, I'm trying to do cor(x1,x2) and I get the following error: Error in cor.default(x1, x2) : missing observations in cov/cor A few things: 1. I've used cor() many times and have never encountered this error. 2. length(x1) = length(x2) 3. is.numeric(x1) = is.numeric(x2) = TRUE 4. which(is.na(x1)) = which(is.na(x2)) = integer(0) {the same goes for is.nan()} 5. I also try

Hi there, I am fairly new to R and I have been trying to figure out how to separate a column of substrate data that I have into separate parts using R. An example of my data looks like this is: gmtTime Classification ClassValue Species Count 1449 Sand 30 1449 Mud 70 Brittle Star 1 1449 Mud 70

Hello R-helpers, Please see a self-contained example below, in which I attempt to plot the effect of x1 on y, while controlling for x2. Is there a function that does the same thing, without having to specify that x2 should be held at its mean value? It works fine for this simple example, but might be cumbersome if the model was more complex (e.g., lots of x variables, and/or interactions). Many

Dear All, I have a data frame with n columns: X1, X2, ., Xn. Now I want to create a new column: if X1 = X2 = . = Xn, the value is 1; Otherwise, the value is 0. How to do that in a quick way instead of doing (n choose 2) comparisons? Thank you, Frank [[alternative HTML version deleted]]

Dear R_Users, I am confronted to a technical issue that I wouldn't even know how to start to handle and where to look at. It is about data manipulation in a dataframe and value substitution Imagine I have a matrix describing a set of chemical equations. Colnames are Components names and Rownames are Reaction names Each cell in that matrix corresponds to the stoechiometric coefficient to the

I am a Professor of Statistics at Indira Gandhi Krishi Vishwavidyalaya, Raipur, India. While teaching in class about analysis of variance using R, I was doing a one-way analysis for the two data-sets given below in the R-class. I got a typical error in "emmeans" package, please help: Data-set-1: -------------- Medley and Clements (1998) investigated the impact of zinc contamination (and